Abstract: A method for detecting solutions to a problem using content in online discussion sources. The method includes receiving a request, such request identifying a problem, and searching multiple online discussion sources for content related to the problem. Responsive to finding content related to the problem, the method searches the multiple online discussion sources for a plurality of solutions to the problem. Responsive to finding a plurality of solutions to the problem, the method forms groups containing the solutions from each of the multiple online discussion sources. The method then determines a likeliness to solve the problem for each of the groups and ranks the groups based on the determined likeliness to solve the problem. The method then determines that the rank of at least one group meets a threshold value, wherein the threshold value is based on a confidence in the likeliness to solve the problem.

Abstract: Embodiments of the present invention provide a system, method, and program product to measure problems from a social media discussion. In exemplary embodiments, a computer extracts one or more problems from the social media discussion. The computer extracts one or more severity indicators and one or more complexity indicators from the social media discussion. The computer clusters the one or more problems into one or more sets of unique problems in a manner that related problems are clustered together into the one or more unique problems. The computer determines an overall severity and an overall complexity of the sets of unique problems.

Abstract: Embodiments of the present invention relate to an approach for reusing information/knowledge. Specifically, embodiments of the present invention provide an approach for retrieving previously stored data to satisfy queries (e.g., jobs/tickets) for solutions to problems while maintaining privacy/security of the data as well as ensuring the quality of the results. In a typical embodiment, a query for a solution to a problem is received and details are extracted therefrom. Using the details, a search is performed on a set of data stored in at least one computer storage device. Based on the search, a set of results will be generated and classified into a set of categories. In any event, the quality of each of the set of results will be assessed based on the usefulness of the set of results.

Abstract: A method is provided for determining problem resolutions within a networked computing environment. The method includes retrieving, by one or more computer processors, event data from within a networked computing environment. The method includes determining, by the one or more computer processors, a characteristic of a database within the networked computing environment, the database storing a plurality of problem resolutions. The method includes determining, by the one or more computer processors, a search query corresponding to the event data and to the characteristic of the database. The method includes performing, by the one or more computer processors, a first search of the database using the search query and then refining, by the one or more computer processors, the search query. The method then includes performing, by the one or more computer processors, at least one additional search of the database using the refined search query.

Abstract: A method is provided for determining problem resolutions within a networked computing environment. The method includes retrieving, by one or more computer processors, event data from within a networked computing environment. The method includes determining, by the one or more computer processors, a characteristic of a database within the networked computing environment, the database storing a plurality of problem resolutions. The method includes determining, by the one or more computer processors, a search query corresponding to the event data and to the characteristic of the database. The method includes performing, by the one or more computer processors, a first search of the database using the search query and then refining, by the one or more computer processors, the search query. The method then includes performing, by the one or more computer processors, at least one additional search of the database using the refined search query.

Abstract: A method for detecting solutions to a problem using content in online discussion sources. The method includes receiving a request, such request identifying a problem, and searching multiple online discussion sources for content related to the problem. Responsive to finding content related to the problem, the method searches the multiple online discussion sources for a plurality of solutions to the problem. Responsive to finding a plurality of solutions to the problem, the method forms groups containing the solutions from each of the multiple online discussion sources. The method then determines a likeliness to solve the problem for each of the groups and ranks the groups based on the determined likeliness to solve the problem. The method then determines that the rank of at least one group meets a threshold value, wherein the threshold value is based on a confidence in the likeliness to solve the problem.

Abstract: Embodiments of the present invention relate to an approach for reusing information/knowledge. Specifically, embodiments of the present invention provide an approach for retrieving previously stored data to satisfy queries (e.g., jobs/tickets) for solutions to problems while maintaining privacy/security of the data as well as ensuring the quality of the results. In a typical embodiment, a query for a solution to a problem is received and details are extracted therefrom. Using the details, a search is performed on a set of data stored in at least one computer storage device. Based on the search, a set of results will be generated and classified into a set of categories. In any event, the quality of each of the set of results will be assessed based on the usefulness of the set of results.

Abstract: Embodiments of the present invention relate to an approach for reusing information/knowledge. Specifically, embodiments of the present invention provide an approach for retrieving previously stored data to satisfy queries (e.g., jobs/tickets) for solutions to problems while maintaining privacy/security of the data as well as ensuring the quality of the results. In a typical embodiment, a query for a solution to a problem is received and details are extracted therefrom. Using the details, a search is performed on a set of data stored in at least one computer storage device. Based on the search, a set of results will be generated and classified into a set of categories. In any event, the quality of each of the set of results will be assessed based on the usefulness of the set of results.

Abstract: Embodiments of the present invention provide a system, method, and program product to measure problems from a social media discussion. In exemplary embodiments, a computer extracts one or more problems from the social media discussion. The computer extracts one or more severity indicators and one or more complexity indicators from the social media discussion. The computer clusters the one or more problems into one or more sets of unique problems in a manner that related problems are clustered together into the one or more unique problems. The computer determines an overall severity and an overall complexity of the sets of unique problems.

Abstract: Embodiments of the present invention relate to an approach for reusing information/knowledge. Specifically, embodiments of the present invention provide an approach for retrieving previously stored data to satisfy queries (e.g., jobs/tickets) for solutions to problems while maintaining privacy/security of the data as well as ensuring the quality of the results. In a typical embodiment, a query for a solution to a problem is received and details are extracted therefrom. Using the details, a search is performed on a set of data stored in at least one computer storage device. Based on the search, a set of results will be generated and classified into a set of categories. In any event, the quality of each of the set of results will be assessed based on the usefulness of the set of results.